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Using 2D Gis to Assist 3D Modelling of the Zarshuran Gold Deposit, Iran

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Using 2D Gis to Assist 3D Modelling of the Zarshuran Gold Deposit, Iran Asadi, Hooshang USING 2D GIS TO ASSIST 3D MODELLING OF THE ZARSHURAN GOLD DEPOSIT, IRAN * Hooshang ASADI HARONI, Edmund SIDES, Kiiza NGONZI International Institute for Aerospace Survey and Earth Sciences (ITC), The Netherlands * Ministry of Higher Education, Tehran, Iran harouni @itc.nl [email protected] Technical Commission Session Themes TC VII-8 KEY WORDS: Spatial data, Integration, Geology, Geophysics, GIS, Data mining, Information extraction ABSTRACT The Zarshuran gold deposit in NW Iran is an area of historic mining for gold and arsenic with considerable potential for discovery of economic gold mineralisation. Geological, geochemical and geophysical data, collected by the Ministry of Mines and Metals were compiled and analysed in a 2-dimensional (2D) GIS. This resulted in the definition of major structural features, and lithological units, that control the gold mineralisation. Spatial modelling and interpretation of the geochemical and geophysical data showed that the mineralization is mainly controlled by chemically-reactive Precambrian carbonates and black shales, extending in a NW-SE direction, and also by NE-SW high angle faults and their intersections with NW-SE structures. The results obtained, from the 2D GIS analysis, were used in the initial phase of the construction and validation of the 3-dimensional (3D) models used for resource estimation. Comparison of the statistical analyses of geochemical data in soils and in drillcore indicated enhanced concentrations of gold in soils at surface, due to residual enrichment. An enrichment relationship was established based on interpretation of the cumulative frequency plots for gold in soil and drillcore samples. Based on this relationship the gold anomalies interpreted from the soil geochemical data were used to infer a resource potential, to a depth of 200m below surface, of 10Mt at an average grade of 0.2 g/t gold. The combined interpretation of results from the geochemical and geophysical data highlight several features which warrant follow-up with further drilling. 1 INTRODUCTION The Zarshuran gold deposit is located north of Takab town in northwestern Iran (Figure 1). It is a well-known area of ancient arsenic and gold mining. In modern times orpiment and realgar have been mined for several decades on a small scale. In 1989, the Ministry of Mines and Metals of Iran undertook a gold exploration project to define and locate gold mineralisation in the Zarshuran mining district. This project resulted in identifying the district as having the highest mineral potential in Iran particularly for the occurrence of deposits of Au, Ag, Sb, Hg and As. An area of about 0.65km2 around an arsenic mine has been the target for gold exploration during the last ten years. Results obtained from geological mapping, geophysics, soil geochemistry and drilling have been used to define a possible resource tonnage of 2.5 million tonnes of ore with an average grade of 10g/t of gold (Samimi, 1992). The study presented here shows how an analysis of deposit scale surface geo-information, in a 2-dimensional (2D) GIS, can be used to provide valuable information for use in the initial phases of construction and validation of the 3- dimensional (3D) models used for resource estimation. The development of a 2D spatial model, which highlights features characteristically associated with gold mineralisation, is illustrated. The use of 3-dimensional sub-surface geological structures, inferred from an interpretation of this 2D spatial model, in the evaluation of the location, size and morphology of the potential orebody is also discussed. 2 GEOLOGY AND MINERALIZATION The Zarshuran area is underlain mainly by rocks of Precambrian age. The oldest unit, the Iman Khan unit, forms the core of the Iman Khan anticline, symmetrically-plunging NW-SE over some 7 km. The Iman Khan unit mainly consists of chlorite-amphibole-schist and locally serpentinite. The Iman Khan schist is followed upwards by the Chaldagh limestone, the Zarshuran black shale with silica and carbonate intercalations and the Qaradash shale, tuff and sandstone. An Oligo-Miocene granitoid, intruded into the mineralised Precambrian formations, is highly altered, mylonitised and 82 International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B7. Amsterdam 2000. Asadi, Hooshang weakly mineralized (Figure 1). The main faults present trend northeast-southwest and northwest-southeast in the Precambrian formation. Gold occurs mainly as disseminations in carbonaceous, siliceous, and calcareous beds within the Zarshuran black shale. Gold is also found in hydrothermal veins of massive quartz (jasperoid) and quartz veinlets formed by carbonate replacement along high-angle faults in Chaldagh limestone. The Chaldagh limestone is also mineralized at its contacts with the Iman Khan schist and with the overlying Zarshuran unit. Alluvium Qom Formation (conglomerate) Granitoid Soltanieh Formation (dolomite) Qaradash Formation (tuff and shale) Jasperoid Limestone Projection UTM zone 38 Zarshuran Unit (black shale) ChaldaghUnit (limestone) Iman-Khan Unit (schist) Fault Figure 1. Location and detailed geology of the Zarshuran gold deposit, NW Iran. Quartz, calcite, dolomite and clays are the principal minerals of the host rocks. Decalcification, silicification, and argillization characterize mineralized rocks. Decalcification increased the porosity and permeability of the host rocks and thus provided favorable sites for hydrothermal mineralization. The ore consists mainly of orpiment and pyrite, and to a lesser extent sphalerite, galena, realgar and stibnite, with subordinate cinnabar, HgS, lorandite, TlAsS2, christite, TlHgAsS3, coloradoite, HgTe, getchellite, AsSbS3, aktashite, Cu6Hg3As4S12, baumhuerite, Pb3As4S9, boulangerite, Pb5Sb4S11, geochronite, Pb14(Sb, As)6S23, plagionite, Pb5Sb8S17 and twinnite, Pb(Sb, As)2S4. Sulfide oxidation is mainly confined to veins, veinlets, and fracture zones. Quartz, calcite, fluorite, hematite and barite are the main gangue minerals. Accessory minerals include apatite, Ca5(PO4)3 (OH, F, Cl), rutile, TiO2, zircon, ZrSiO2, and xenotime, YPO4 (Asadi et al., 2000). Gold is rarely visible but occurs invisibly in arsenian pyrite and sphalerite (Asadi et al, 1999). The petrography, mineralogy and trace element geochemistry of the Zarshuran gold deposit show that it is a Carlin-like sediment-hosted disseminated gold deposit. The association of mineralisation at Zarshuran with a magmatic intrusion, and the presence of tellurium in concentrations sufficient to precipitate telluride, suggest a greater magmatic component in the mineralising hydrothermal solution than is typical for most Carlin-type deposits, best known in the western United States (Asadi et al., 1999 and 2000). 3 GIS DATA INPUTS The geological maps on a district scale (1:10 000) and deposit scale (1:2000), 19 geological cross sections on a deposit scale (1:2000), a topographic map at a scale of 1: 2000 and bore hole locations were digitized using the Integrated Land and Water Information System (ILWIS) GIS. The geochemical data available were derived from samples taken on a surface grid with a 100m by 20m sampling interval which covered an area of about 9km2 (larger than the area shown in Figure 1). A total of 4500 surface-soil samples were collected from the grid and were analysed for Au, As, Sb, Ag, Tl, Hg, Cu, Pb, and Zn; these elements having been selected as direct and pathfinders indicators for gold mineralisation in an epithermal setting. The analyses were performed using atomic absorption spectrophotometry (AAS) at the Karaj Geochemical Laboratory in Tehran, Iran. The results were obtaned in the form of hardcopy data listings, which included the sample numbers, coordinates International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B7. Amsterdam 2000. 83 Asadi, Hooshang in a local grid, and the analytical results. These data were captured in digital form using scanning and an optical character recognition (OCR) program. The resultant data were saved in a spreadsheet file after careful validation of the data entry against the original data sheets. The soil samples had been collected on two separate rectangular grids, orientated at 460 (lines 280W-90E) and 630 (lines 100E-320E) to the North. In order to facilitate subsequent processing the UTM coordinates of all sample points were determined using a coordinate transformation option after the data had been transferred into a GIS. Geophysical data were available in the form of a contoured ground magnetic intensity hardcopy map at a scale of 1:2000. The information contained on this map was converted into a digital format through digitising, a process that involved capturing the UTM coordinates (X and Y values) and ground magnetic total field intensity contour values (Z values) down the samples lines, which provided the closest approximation to the original data. The results were stored in an ASCII XYZ file format that allowed direct input for gridding and contouring processes. 4 2-D GIS ANALYSIS 4.1 Geophysical data Epithermal gold deposits are highly variable in form, ranging from thin quartz veins to large bodies of disseminated mineralisation, and occur in a variety of geological environments. Consequently, they exhibit a wide range of geophysical signatures. The hydrothermal alteration that accompanies these deposits causes pronounced changes in the physical properties of the rocks. Asadi and Hale (1999) attributed the high analytical signals of total magnetic intensities of
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